Design of Comparative Experiments: References

By R. A. Bailey. 2008

323 citations recorded by the source corpus.

Subfields: Demography, Genetics, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/705533faca13516fb4e558a63c90b1624584958c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Demography

1. Lior Rokach
2. Bracha Shapira
3. David R. Cox
4. Francesco Ricci
5. Stefan Thau

In Genetics

1. Lior Rokach
2. Bracha Shapira
3. David R. Cox
4. Francesco Ricci

In Political Science and International Relations

1. Lior Rokach
2. Bracha Shapira
3. David R. Cox
4. Francesco Ricci

Citations in the corpus

• ENTREPRENEURSHIP EDUCATION: A SYSTEMATIC REVIEW OF THE METHODS IN IMPACT STUDIES (2013, background): “In best case, impact studies should utilize experimental designs in which all subjects are randomly assigned from a single population and attributed to the experimental and control groups (Bailey, 2008).”
• Low power individuals in social power research: A quantitative review, theoretical framework, and empirical test (2018, background): “The presence of a control condition is important (a) to assess whether there is an effect of the independent variable at all and (b) to interpret the directionality of a treatment effect (Bailey, 2008; Mullen & Monin, 2016).”
• Introduction to Recommender Systems Handbook (2011, methodology): “design of the off-line experiments should follow known experiment design practices [11] in order to ensure reliable results.”
• Un sistema de clasificación de los diseños de investigación en psicología (2013, background): “Una clasificación alternativa, menos popular pero más arraigada en la tradición estadística (Ader & Mellenbergh, 1999, Bailey, 2008, McConway, Jones & Taylor, 1999, Milliken y Johnson, 2009), parte de la formulación de un modelo estructural cada uno de cuyos elementos se asocia con uno de tres…”
• Randomization in the Design of Experiments (2009, background): “In some situations, it is possible to avoid especially undesirable treatment configurations by the device of restricted randomization (Yates, 1951a; Grundy & Healy, 1951; Bailey & Rowley, 1987). In this, the second-order properties of a standard randomization, e.g. of a Latin square, are preserved b”
• Recommender Systems: Introduction and Challenges (2015, methodology): “The design of the off-line experiments should follow known experiment design practices [6] in order to ensure reliable results.”